The Interactive High-level Safety Planning Model (IHSPM) is a web-based tool for the analysis of communities and neighbourhood road safety through the use of macro-level collision prediction modelling (CPM). The aim of the module is to aid engineering professionals in the planning stages of road networks through providing network design macro-level CPMs. These resulting CPM’s can be used to determine the safety of the network design. IHSPM provides one of the key tools needed to support the transition to more proactive, sustainably safe and healthy built environments, and road safety planning. It is a knowledge-based web application based on macro-level Collision Prediction Models (CPM) for remote access to and reference by communities world-wide interested in planning safer, more sustainable communities.
Previously, the SMARTer Growth lab has focused on developing macro-level Collision Prediction Models (CPM) and guidelines for their use by planners and engineers is a critical need for our community. These models predict mean collision frequency based on associations with variables from one of four neighbourhood characteristic themes, including exposure, socio-demographics (S-D), Transportation Demand Management (TDM), and network. Dr. Lovegrove and his team have developed models for Victoria, Vancouver, Kelowna, and Ottawa, in Canada. He is seeking partnerships to develop and apply his models in other cities across Canada, with the intent to plan, design, and build neighbourhoods based on his SMARTer Growth principles to validate his theoretical modelling results.
Project Status
We aim to add the IHSPM as an on-line safety planning module the existing micro-level AASHTO Highway Capacity Manual (HCM) on-line tool, the Interactive Highway Safety Design Model (IHSDM), in order to accelerate and automate the development and application of safety planning by practitioners world-wide to preclude safety problems from happening in the first place.
Preliminary tools have been developed and applied to the Greater Vancouver, Victoria and Kelowna areas. We welcome visitors and interested municipalities and collaborators who may wish to conduct a beta-test of our IHSPM software to benefit and transform their community. It allows practitioners from all fields and all types of communities to develop and apply reliable empirical tools that evaluate existing communities and/or predict for planned communities ways to optimize on and off-road safety to save lives and money. This includes quantifying the safety implications of land use patterns (eg SMARTer Growth (Fused Grid) neighbourhoods), as well as active transport modes (eg walk, bike, bus, rail).
Project Details
Lead Researcher: Dr. Gord Lovegrove (previously Vipul Garg)
Funding Partners: NSERC Discovery Grant
Industry Partners: ITE, TRB, AASHTO, and FWHA
Publications:
Papers and reports published as a result of our research to date are available via our web site: www.ubc.ca/okanagan/engineering/faculty/gordonlovegrove.html. Or reach me directly at gord.lovegrove@ubc.ca, 250-807-8717 and I’ll send you a copy of our publications directly.
- Wei, F. and Lovegrove, G. (2012) An empirical tool to evaluate the safety of cyclists: Community based, macro-level collision prediction models using negative binomial regression. Accident Analysis & Prevention, doi: 10.1016/j.aap.2012.05.018.
- Khondakar, B., Sayed, T., and Lovegrove, G. (2010) Transferability of Community-Based Collision Prediction Models for Use in Road Safety Planning Applications, ASCE Journal of Transportation Engineering, Vol. 136, No. 10, October 2010, pp. 871-880.
- Lim, C., Sayed, T. and Lovegrove, G.R. (2010) Community-Based, Macrolevel Collision Prediction Model Use with a Regional Transportation Plan, Journal of Transportation Engineering, American Society of Civil Engineers. Vol. 136, No. 2, pp. 120-128, February 2010.
- Lovegrove, G.R. and Sayed, T. (2007) Macro-Level Collision Prediction Models to Enhance Traditional Reactive Road Safety Improvement Programs Journal of the Transportation Research Board, Transportation Research Record No 2019, pp. 73 – 82.
- Lovegrove, G.R. and Sayed, T. (2006) Using Macro-Level Collision Prediction Models in Road Safety Planning Applications, Transportation Research Record No 1950, August 2006, pp. 73 – 82.
Lovegrove, G.R. and Sayed, T. (2006) Macro-Level Collision Prediction Models for Evaluating Neighbourhood Traffic Safety, Canadian Journal of Civil Engineering, 33:5, May 2006, pp. 609 – 621.